A Novel Iterative Second-Order Neural-Network Learning Control Approach for Robotic Manipulators

Autor: Dang Xuan Ba, Nguyen Trung Thien, Joonbum Bae

Publikováno v: IEEE Access, Vol 11, Pp 58318-58332 (2023)

Iterative Learning Control (ILC) is known as a high-accuracy control strategy for repetitive control missions of mechatronic systems. However, applying such learning controllers for robotic manipulators to result in excellent control performances is

Externí odkaz: https://doaj.org/article/a695cacd6ed74c518ef806e65018b205

A Nonlinear Sliding Mode Controller of Serial Robot Manipulators With Two-Level Gain-Learning Ability

Autor: Dang Xuan Ba, Joonbum Bae

Publikováno v: IEEE Access, Vol 8, Pp 189224-189235 (2020)

This article presents a learning robust controller for high-quality position tracking control of robot manipulators. A basic time-delay estimator is adopted to effectively approximate the system dynamics. A low-level control layer is structured from

Externí odkaz: https://doaj.org/article/df1dad7b799a4bcdba3f81916323bc61

Multi-performance optimization of the diamond burnishing process in terms of energy saving and tribological factors.

Autor: Nguyen, Trung-Thanh, Nguyen, Truong-An, Dang, Xuan-Ba, Van, An-Le

Publikováno v: Proceedings of the Institution of Mechanical Engineers: Part E: Journal of Process Mechanical Engineering (Sage Publications, Ltd.); Dec2024, Vol. 238 Issue 6, p2714-2727, 14p

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